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Enterprise

Banking and insurance

In this sector an automation you can’t explain doesn’t survive internal review, whatever it saves. Everything I build here leaves a record that reads in review.

The sector’s needs

Delivered across Switzerland, remote-first, with on-site days by arrangement.

Scope boundary

The scope produces architecture, controls and factual evidence. It isn’t regulatory assurance, a prudential audit or legal advice: those conclusions stay with the right functions and qualified specialists.

Examples of what gets built

  • Client onboarding and KYC files

    Identity papers, registers and forms extracted and cross-checked at intake volume, with confidence thresholds and a decision trail a reviewer can replay.

    Document automation →
  • An assistant grounded in the normative corpus

    Directives, credit policies, product terms and circulars queryable in plain language, with the exact passage cited and directory permissions applied to every answer.

    Secure AI assistants →
  • Monitoring of transaction flows

    Deviation models over transaction and declaration flows, factor contributions shown, thresholds governed and every alert traceable to its data.

    Predictive analysis →
  • Market-data platforms

    Provider ingestion, documented transformations and datasets delivered on schedule, with freshness and completeness measured rather than assumed.

    The data foundation →
  • Control evidence

    Processing register, access log and control evidence produced by the platform itself, with any figure regenerable on demand.

  • Search across contracts and endorsements

    Finding an obligation by its meaning rather than its exact wording, across documents that share neither structure nor vocabulary.

    Document search →
  • Processing chains with a checkpoint

    The repetitive steps of a case chained at portfolio volume, with a handler approving at the points where the decision commits and throughput measured.

    Business agents →
  • Core systems past end of support

    The platforms carrying the policies outlive their support without a project that justifies replacing them. They move onto a version still supported, with the rollback written down.

    Leaving end of support →
  • Leaving proprietary virtualisation

    The virtual estate carrying the management applications changes platform in waves, each step costed and documented for internal review.

    Leaving proprietary virtualisation →
  • Jurisdiction of client data

    The record decides the option: operator, roles, contracts, locations, support access, subprocessors, transfers, retention, export, deletion and the exit from the former host.

    Migration to hosting you chose →
  • Provider reversibility

    Ownership of access, exports readable without the original tool and transition documentation, prepared before internal review asks for them.

    Reversibility pack →
  • Access rights carried by roles

    Every access to client or market data corresponds to a named role, with its justification and its latest review. The auditor reads the matrix; nobody rebuilds it for them.

    Identity, directory and access →
  • An infrastructure where every change keeps its author

    Production and staging environments are described in reviewed code. A rule opened on a Friday evening shows up in review, and the history answers the compliance questionnaire without reconstruction.

    Versioned infrastructure →
  • Recovery objectives decided per service

    Claims handling, pricing and accounting each receive a downtime and a data loss management has accepted. A timed restore and then a failover rehearsal prove the architecture holds them.

    Backup and recovery →

Relevant experience

Assignments I delivered, described without naming anyone. No logos and no testimonials: what I did, and with what.

  • Data-pipeline architecture on Google Cloud for an international index and financial-data provider

    Airflow · dbt · BigQuery · Terraform

  • Systems and storage engineering at a global storage-solutions vendor

    FC · iSCSI · NAS/SAN

  • AI extraction of data from financial announcements, in production at an international index provider

    Vertex AI · BigQuery · prompts versionnés

Why me

  • AI extraction running daily in production on financial announcements, not a conference demo
  • Habit of environments where every transformation has to be documented and replayable
  • Prompts kept and tested at every change, with the version used available for an internal review
  • Swiss or on-premise hosting treated as an architecture decision, not a billing option

Test the fit: Banking and insurance

Describe the context, constraints and decision you need to make. The first conversation qualifies scope, boundaries and the next useful step.

Describe the situation